A Self-Organizing Strategy for Power Flow Control of Photovoltaic Generators in a Distribution Network

Xin, Huanhai; Qu, Zhihua; Seuss, John; Maknouninejad, Ali

doi:10.1109/tpwrs.2010.2080292

Cited by 261 publications

(152 citation statements)

References 20 publications

Supporting

Mentioning

152

Contrasting

Order By: Relevance

“…Refs. [24] and [25] explicitly use communication to make a group of PV units converge to a percentage of the available power and regulate a critical bus. In Ref.…”

Section: A Literature Reviewmentioning

confidence: 99%

Active Management of Low-Voltage Networks for Mitigating Overvoltages Due to Photovoltaic Units

Frédéric

Aristidou

Ernst

et al. 2016

IEEE Trans. Smart Grid

286

164

View full text Add to dashboard Cite

Abstract-In this paper, the overvoltage problems that might arise from the integration of photovoltaic panels into low-voltage distribution networks is addressed. A distributed scheme is proposed that adjusts the reactive and active power output of inverters to prevent or alleviate such problems. The proposed scheme is model-free and makes use of limited communication between the controllers, in the form of a distress signal, only during emergency conditions. It prioritizes the use of reactive power, while active power curtailment is performed only as a last resort. The behavior of the scheme is studied using dynamic simulations on a single low-voltage feeder and on a larger network composed of 14 low-voltage feeders. Its performance is compared to a centralized scheme based on the solution of an Optimal Power Flow problem, whose objective function is to minimize the active power curtailment. The proposed scheme successfully mitigates overvoltage situations due to high photovoltaic penetration and performs almost as well as the Optimal Power Flow based solution with significantly less information and communication requirements.Index Terms-low-voltage photovoltaic systems, active distribution network management, voltage control

show abstract

“…Refs. [24] and [25] explicitly use communication to make a group of PV units converge to a percentage of the available power and regulate a critical bus. In Ref.…”

Section: A Literature Reviewmentioning

confidence: 99%

Active Management of Low-Voltage Networks for Mitigating Overvoltages Due to Photovoltaic Units

Frédéric

Aristidou

Ernst

et al. 2016

IEEE Trans. Smart Grid

286

164

View full text Add to dashboard Cite

show abstract

“…Algorithms in that research determine the level of DG curtailment because of loading constraints in a small test network. Based on a local information network, a distributed two-level control scheme was proposed to adjust power output from clusters of photovoltaic (PV) generators when disturbances occur (Xin et al, 2011).…”

Section: Power Flow Managementmentioning

confidence: 99%

Application of the Graph Theory in Managing Power Flows in Future Electric Networks

Nguyen¹,

Kling²,

Georgiadis³

et al. 2012

New Frontiers in Graph Theory

View full text Add to dashboard Cite

“…However, they may lose control efficiency in a microgrid due to the high penetration of RGs. The reason is that a powerful computation centre is indispensable to process numerous collected data from RGs and ESSs in a microgrid [15]. As a result, it brings intractable computation burden, and is sensitive to singlepoint failures.…”

Section: Introductionmentioning

confidence: 99%

Distributed Agent Consensus-Based Optimal Resource Management for Microgrids

Zhao

Ding

2018

IEEE Trans. Sustain. Energy

View full text Add to dashboard Cite

Abstract-This paper considers the optimal resource management problem for microgrids. Microgrids provide a promising approach to fulfil challenges of the integration of distributed renewable generations and energy storage systems. However, the resource management in a microgrid encounters the new difficulty, i.e. supply-demand imbalance, caused by the intermittence of renewable sources. Therefore, an optimal solution is proposed to the resource management by enhancing the communication and coordination under a multi-agent system framework. An agent is a participant, for instance, the distributed renewable generator/energy storage system of the microgrid. With this multi-agent system, the distributed optimal solution only utilizes the local information, and interacts with the neighbouring agents. Thus, single-node congestion is avoided since the requirement for a central control centre is eliminated, and it is robust against single-link/node failures. The analysis will show that the proposed solution can solve the resource management problem in an initialization-free manner. Additionally, the proposed strategy can maintain the supply-demand balance under a time-varying supply-demand deviation. The simulation studies are carried out for IEEE 14-bus and 162-bus power systems to validate the effectiveness of the proposed distributed solution.

show abstract

A Self-Organizing Strategy for Power Flow Control of Photovoltaic Generators in a Distribution Network

Cited by 261 publications

References 20 publications

Active Management of Low-Voltage Networks for Mitigating Overvoltages Due to Photovoltaic Units

Active Management of Low-Voltage Networks for Mitigating Overvoltages Due to Photovoltaic Units

Application of the Graph Theory in Managing Power Flows in Future Electric Networks

Distributed Agent Consensus-Based Optimal Resource Management for Microgrids

Contact Info

Product

Resources

About